app.py

import streamlit as st
import noisereduce as nr
import soundfile as sf
import io
import numpy as np
from pydub import AudioSegment

# Define a Streamlit app
st.title("Audio Processing App")

# Upload the input audio file
uploaded_audio = st.file_uploader("Upload an audio file", type=["mp3", "wav"])

if uploaded_audio is not None:
    audio_bytes = uploaded_audio.read()

    # Convert audio file to numpy array
    audio, sample_rate = sf.read(io.BytesIO(audio_bytes))
    
    # Apply noise reduction
    st.write("Applying noise reduction...")
    reduced_audio_data = nr.reduce_noise(y=audio, sr=sample_rate)

    # Create an AudioSegment from the reduced audio data
    reduced_audio = AudioSegment(
        reduced_audio_data.tobytes(),
        frame_rate=sample_rate,
        sample_width=reduced_audio_data.dtype.itemsize,
        channels=1
    )

    # Save the reduced audio as a 16-bit wave file
    reduced_audio.export("reduced_audio.wav", format="wav")

    # Load the 16-bit wave file and slow it down
    slowed_audio = AudioSegment.from_wav("reduced_audio.wav")
    slowed_audio = slowed_audio.speedup(playback_speed=0.7)

    # Export the slowed audio to a file
    slowed_audio.export("output_audio.wav", format="wav")

    # Provide the download link for the processed audio
    st.audio("output_audio.wav")

# Run the Streamlit app
if __name__ == "__main__":
    st.write("Upload an audio file to process.")